Distribution system reliability assessment - From measurement of performance to prediction of future

被引:0
|
作者
Bertling, L [1 ]
Allan, R [1 ]
Eriksson, R [1 ]
机构
[1] Kungl Tekniska Hogskolan, S-10044 Stockholm, Sweden
来源
2002 IEEE POWER ENGINEERING SOCIETY SUMMER MEETING, VOLS 1-3, CONFERENCE PROCEEDINGS | 2002年
关键词
reliability; distribution system; reliability centered maintenance; RCM;
D O I
暂无
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
The electrical utilities are facing market conditions and therefore have to plan and operate their distribution systems in a cost effective way. This implies that the customers requirement on reliability i.e. availability, has to be balanced towards the cost for obtaining the same. An effective way of solving this issue is by the use of quantitative assessment of reliability, i.e. reliability indices, which is based on probability theory. However, these methods require input data that defines the condition for the system and its components. The aim is to predict the future behavior based on collected data and measured performance. Reliability centered maintenance (RCM) is a systematic approach for handling this complexity of relating the benefit in reliability by different preventive actions in obtaining the same i.e. preventive maintenance with aim of lower the frequence of supply interruptions. This presentation focus on: firstly, how to measure performance and identify system past and secondly, how this information can be used for predicting the future condition. Furthermore, this is made by showing on results from an RCM application study of a cable distribution system where real system and component reliability input data has been used for prediction of system reliability.
引用
收藏
页码:782 / 782
页数:1
相关论文
共 50 条
  • [21] Distribution system reliability risk assessment using historical utility data
    Billinton, Roy
    Feng, Zhe
    ELECTRIC POWER COMPONENTS AND SYSTEMS, 2007, 35 (06) : 693 - 713
  • [22] Impact of Demand Response on Distribution System Reliability
    Mohagheghi, Salman
    Yang, Fang
    Falahati, Bamdad
    2011 IEEE POWER AND ENERGY SOCIETY GENERAL MEETING, 2011,
  • [23] Bivariate distribution based passive system performance assessment
    Burgazzi, L.
    SAFETY, RELIABILITY AND RISK ANALYSIS: THEORY, METHODS AND APPLICATIONS, VOLS 1-4, 2009, : 1787 - 1793
  • [24] Real-Time Power Electric System Modeling, Assessment and Reliability Prediction
    Cheng, Danling
    Liang, Yishan
    Zhu, Dan
    Broadwater, Robert P.
    2009 IEEE/PES POWER SYSTEMS CONFERENCE AND EXPOSITION, VOLS 1-3, 2009, : 495 - +
  • [25] CMOS Reliability From Past to Future: A Survey of Requirements, Trends, and Prediction Methods
    Hill, Ian
    Chanawala, Parvez
    Singh, Rohit
    Sheikholeslam, S. Arash
    Ivanov, Andre
    IEEE TRANSACTIONS ON DEVICE AND MATERIALS RELIABILITY, 2022, 22 (01) : 1 - 18
  • [26] Reliability assessment of superluminescent diodes from performance degradation data
    Chao D.
    Ma J.
    Zhang C.
    Guangxue Xuebao/Acta Optica Sinica, 2010, 30 (10): : 3044 - 3048
  • [27] Reliability Assessment and Cost Analysis of Over Loaded Distribution System with Distributed Generation
    Rehman, Anis Ur
    Rehman, Atiq Ur
    Mehmood, Sheharyar
    2016 INTERNATIONAL CONFERENCE ON COMPUTING, ELECTRONIC AND ELECTRICAL ENGINEERING (ICE CUBE), 2016, : 244 - 250
  • [28] A Study of Reliability Assessment Node Number Optimization Algorithm for Radial Distribution System
    Gao, Dongyun
    Huang, Lihua
    Chen, Junhong
    PROCEEDINGS OF FIRST INTERNATIONAL CONFERENCE OF MODELLING AND SIMULATION, VOL III: MODELLING AND SIMULATION IN ELECTRONICS, COMPUTING, AND BIO-MEDICINE, 2008, : 166 - 171
  • [29] Valuation of Reliability Assessment for Power Systems in Terms of Distribution System, A Case Study
    Tur, Mehmet Rida
    Shobole, Abdulfetah
    Wadi, Mohammed
    Bayindir, Ramazan
    2017 IEEE 6TH INTERNATIONAL CONFERENCE ON RENEWABLE ENERGY RESEARCH AND APPLICATIONS (ICRERA), 2017, : 1110 - 1114
  • [30] Performance and Reliability Assessment of a Mecatronic Sensor System in Wireless Sensor Networks
    Merbah, Amina
    Belhadaoui, Hicham
    Ouzzif, Mohamed
    Malasse, Olaf
    INTERNATIONAL JOURNAL OF COMPUTER SCIENCE AND NETWORK SECURITY, 2011, 11 (08): : 179 - 189